Eduardo F Santos1, Catia M Duarte2, Ricardo O Ferreira3, Ana M Pinto4, Rinie Geenen5, José P da Silva6. 1. Department of Rheumatology, Coimbra Hospital and University Centre, Coimbra; Nursing School of Porto, Abel Salazar Institute of Biomedical Sciences, University of Porto; Health Sciences Research Unit, Nursing School of Coimbra, Portugal. 2. Department of Rheumatology, Coimbra Hospital and University Centre, Coimbra; Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Portugal. 3. Department of Rheumatology, Coimbra Hospital and University Centre, Coimbra; Health Sciences Research Unit, Nursing School of Coimbra, Portugal. 4. Department of Rheumatology, Coimbra Hospital and Universitary Centre, Coimbra, Portugal. 5. Department of Psychology, Utrecht University, Utrecht, The Netherlands. 6. Department of Rheumatology, Coimbra Hospital and University Centre, Coimbra; Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Portugal. jdasilva@chuc.min-saude.pt.
Abstract
OBJECTIVES: Depressive symptoms are common among patients with rheumatoid arthritis (RA). This study was aimed at developing a multifactorial explanatory model that evaluated the influence of personality traits, disease activity, perceived disease impact, and comorbidities. METHODS: This cross-sectional study used structural equation modelling estimation to analyse the associations between these dimensions, pursuing three hypotheses. Depressive symptoms were assessed using the Hospital Anxiety and Depression Scale, disease impact by the Rheumatoid Arthritis Impact of Disease score, personality by the Ten Item Personality Inventory and the disease activity through the Disease Activity Score 28 joints. The influence of comorbidities was investigated by multigroup analysis. RESULTS: The final model derived from data of 254 patients presented a good fit. Disease activity had an indirect relation with depressive symptoms mediated by disease impact (β=0.17, p<0.001), but the direct relationship between disease activity and depressive symptoms was not significant (β=0.09; p=0.07). "Positive" personality had a strong negative direct relation with depressive symptoms as well as an indirect relationship mediated by disease impact (total effect β=-0.61, p<0.001). The final proposed model explained 58% of the variance of depressive symptoms. Multigroup analysis showed an invariant model when comparing patients with and without comorbidities (dχ2=9.03; df=12; p=0.70). CONCLUSIONS: Personality characteristics seem to have a major influence upon the impact of disease and the patient's adjustment to RA, including the vulnerability or resilience to depression. Individual personality traits deserve attention in tailored assessment and treatment of patients with RA, in order to optimise outcomes.
OBJECTIVES:Depressive symptoms are common among patients with rheumatoid arthritis (RA). This study was aimed at developing a multifactorial explanatory model that evaluated the influence of personality traits, disease activity, perceived disease impact, and comorbidities. METHODS: This cross-sectional study used structural equation modelling estimation to analyse the associations between these dimensions, pursuing three hypotheses. Depressive symptoms were assessed using the Hospital Anxiety and Depression Scale, disease impact by the Rheumatoid ArthritisImpact of Disease score, personality by the Ten Item Personality Inventory and the disease activity through the Disease Activity Score 28 joints. The influence of comorbidities was investigated by multigroup analysis. RESULTS: The final model derived from data of 254 patients presented a good fit. Disease activity had an indirect relation with depressive symptoms mediated by disease impact (β=0.17, p<0.001), but the direct relationship between disease activity and depressive symptoms was not significant (β=0.09; p=0.07). "Positive" personality had a strong negative direct relation with depressive symptoms as well as an indirect relationship mediated by disease impact (total effect β=-0.61, p<0.001). The final proposed model explained 58% of the variance of depressive symptoms. Multigroup analysis showed an invariant model when comparing patients with and without comorbidities (dχ2=9.03; df=12; p=0.70). CONCLUSIONS: Personality characteristics seem to have a major influence upon the impact of disease and the patient's adjustment to RA, including the vulnerability or resilience to depression. Individual personality traits deserve attention in tailored assessment and treatment of patients with RA, in order to optimise outcomes.